A semiparametric likelihood-based method for regression analysis of mixed panel-count data

DOI10.1111/BIOM.12774zbMath1415.62152OpenAlexW2755247279WikidataQ40038927 ScholiaQ40038927MaRDI QIDQ3119864

Leslie L. Robison, Liang Zhu, Ying Zhang, Jianguo Sun, Yimei Li

Publication date: 13 March 2019

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5854546

zbMATH Keywords

maximum likelihood methodsemiparametric regression analysisasymptotic properties of the resulting estimatorpanel-binary datapanel-count datasemiparametric estimation efficiency

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes (62M99) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

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